AWS RoboMaker 智慧機器人應用程式 Level: 200, 中文演講 講師: Bob Yeh, Solutions Architect, AWS & Chia-Wei Yang, Director, ADLINK 聯繫銷售: https://aws.amazon.com/tw/contact-us/ 與銷售線上聊天: https://pages.awscloud.com/tw-hkt-sales-chat.html

1. S U M M I T
Taipei

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AWS RoboMaker
Develop, Test, and Deploy
Intelligent
Robotic Applications with AWSBob Yeh,
Startups Solutions Architect
AWS Hongkong Taiwan
A W S S u m m i t T a i p e i | 2 0 1 9

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AWS RoboMaker
Develop, Test, and Deploy Intelligent
Robotic Applications with AWS
Overview for CUSTOMER NAME

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Agenda
• Introductions
• Overview
• Q&A

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Robotics trends
in 2018
Robotics is undergoing fundamental
change in collaboration, autonomous
mobility, and increasing intelligence
Source: IDTechEx
• Logistics
• Construction
• Retail
• Hospitality
• Healthcare
Robots are being put to work every
day across many industries
• Agriculture
• Energy Management
• Oil and Gas
• Facilities Management
• Household chores
By 2023, it’s estimated that mobile autonomous robots will
emerge as the standard for logistic and fulfillment processes
By 2030, 70% of all mobile material
handling equipment will be autonomous

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Mobile robotics
trends 2018
We are at the beginning of an inflection
point, where expected growth in the use
of mobile robots will increase by almost
tenfold over the next 2–3 years, but…

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Robotic development is
difficult and time consuming
Requires machine learning expertise
for intelligent functions
Many
prototyping iterations
Days spent setting
up and configuring
Months to building a realistic
simulation environment
Duplicated efforts integrating an
application management system

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Robotic development cycle

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Most widely used software framework for teaching and learning about robotics – over 16 million .deb (Linux Debian)
packages downloaded in 2018, a 400% increase since 2014
Founded in Stanford labs over 10 year ago, now managed by the Open Source Robotics Foundation (OSRF)
Global open-source community supports two products—Robot Operating System (ROS) and Gazebo
ROS
A set of software libraries and tools, from drivers to algorithms,
that help developers build robot applications
Gazebo
Robust physics engine, high-quality graphics, and programmatic
and graphical interfaces to help developers simulate robots
Robot Operating System (ROS) primer

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Introducing AWS RoboMaker
A service that makes it easy
for developers to develop,
test, and deploy robotics
applications, as well as build
intelligent robotics functions
using cloud services

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AWS RoboMaker service suite
Development Environment SimulationCloud Extensions for ROS Fleet
Management

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Benefits of AWS RoboMaker
Accelerated
development timelines
Intelligence
out of the box
Zero infrastructure
provisioning
Lifecycle
management

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Designed by developers,
for developers
Application
Developer
Testing
Development iteration
Quality
Engineer
Regression testing
Metric monitoring
System
Engineer
Deploy applications
Software updates
Researchers,
Hobbyists,
Students
Curriculum development
R&D

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Early customer feedback
“With AWS RoboMaker, we are able to easily test the
robotics related software applications in a cloud
environment, and rapidly generate synthetic imaging data
to train our 3D site model creation algorithms. AWS
RoboMaker also provides the ideal fleet management
solution for use on ground vehicles and drones. The
integration between fleet management and AWS
Greengrass makes it really easy to enable communications
among ground vehicles, drones, and IoT solutions.”
—Hamid Montazeri, VP of SW Engineering and Robotics
at Stanley Black & Decker

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Early customer feedback
“We have been evaluating Amazon RoboMaker for our line of
Furo robots, used in public venues for guest services,
information, and entertainment. Through this evaluation, we’ve
discovered that the RoboMaker cloud extensions have
provided us with a comprehensive set of intelligence features
that can be leveraged with little development effort because
they easily integrate into our existing ROS application. As a
new AWS customer, the sample applications provided us with
exactly what we needed to get started. With the acceleration of
development time we expect to gain from AWS and
RoboMaker, we now have new ideas and possibilities for
market expansion.”
—Dr. SeKyong Song, Founder and CEO, Future Robot

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Early customer feedback
““AWS RoboMaker exponentially increases the capabilities of Lea,
an autonomous robot assistant for the elderly and disabled. Lea is
interactive, keeps elderly safe and active, while it can talk to you,
navigate around your house and keep you connected with family
and doctors. We have used RoboMaker cloud extensions for ROS
to enhance Lea with video and telemetry data streaming, and voice
interaction capabilities using services like Amazon Kinesis, Amazon
Lex, and Amazon Polly. These cloud services and extensions
provided by RoboMaker have enabled us to rapidly develop new
features, while breaking the limitations of small on-board computing
power”.”
—Dimitrios Chronopoulos, Lead Mobility Engineer, Robot Care
Systems

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AWS RoboMaker Architecture
ROS/ROS2
Development
Environment
Simulation
Fleet
Management
Cloud Extensions
for ROS
BuildTool
CloudDevelopment
Environment
Debug
MLModelTraining
Iterative
Simulation
Regression
Testing
Registration
Deployment
Monitoring
Management
Lex
Polly
Rekognition
KinesisVideoStreams
CloudWatchMetrics
CloudWatchLogs
MetricandLogging

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AWS RoboMaker
Cloud Extensions for ROS
Cloud extensions written as ROS packages automatically create connections and
make API calls to AWS services, such as Amazon Lex, Amazon Polly, Amazon Kinesis
Video Streams, Amazon Rekognition, and Amazon CloudWatch
LEX
speech
recognition
POLLY
speech
generation
KINESIS
VIDEO
STREAMS
video streams
REKOGNITION
image and video
analysis
CLOUDWATCH
logging and
monitoring

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AWS RoboMaker
Development Environment
 Start application development with zero setup
effort
 Create a RoboMaker development environment
with a single click of a button
 Includes pre-installed RoboMaker cloud
extensions and sample robotics applications
 Automatic download, compile and configuration of
operating system, development software, and
ROS

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AWS RoboMaker
Simulation
 Pre-built virtual 3D worlds provided out of box, or
bring your own
 Zero infrastructure to provision, configure or
manage
 Run multiple simulations in parallel
 Auto-scale based on simulation complexity
 Pay-as-you-go simulation resource consumption

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AWS RoboMaker
Fleet Management
 Integrated with AWS Greengrass
 Built-in robot registry, security, and fault-
tolerance
 Deploy robotics application over-the-air with
just a few clicks on the AWS Management
Console

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AWS RoboMaker
Pricing Structure
 Cloud Extensions for ROS: Customers will incur standard AWS service
charges when the ROS application utilizes an AWS service through
these cloud extensions.
 Development Environment: There is no extra charge for the RoboMaker
development environment. Customers pay only for the underlying
compute and storage resources (e.g. EC2 instances and EBS
volumes).
 Simulation: Pricing is based on resource consumptions, measured as
number of “Simulation Units”. “Simulation Unit” is metered at minute
granularity and each unit is comprised of 1 vCPU and 2 GB memory
and is charged at $0.4 per hour.
 Fleet Management: Customers pay for the underlying Greengrass
resources at the standard price of $0.16 per active robot (device) per
month.

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AWS RoboMaker
architecture
AWS Cloud
Robot
applications
Simulation
Log Files
Developers
Deploy
application
Robot
Rviz
Gazebo
Rqt

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AWS RoboMaker Investment in ROS
Actively guiding the development of the newest version of ROS (ROS2)
via representation on the Technical Steering Committee (TSC) of OSRF
Investment to provide Long Term Support (LTS) for ROS2
• LTS maintains backwards compatibility
• LTS allows developers to release commercial
and production-level products on ROS2
Investment to increase ROS2 packages
• Packages are reusable and provide unique robotics
functions such as mapping and navigation
• AWS driving migration of 113 critical packages identified for
ground mobility robots to ROS2 by the first ROS2 LTS release
Leading the security and logging design of ROS2 and contribution
to the ROS2 core messaging system, Data Distribution Service (DDS)

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ADLINK ROS 2.0
Solutions

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0
1
2
3
4
Scalability
QOS
SafetySecurity
Flexibility
0
1
2
3
4
Scalability
QOS
SafetySecurity
Flexibility
Today Tomorrow
AI + Connectivity
Centralized
control
Peer-to-
peer
From Automated to Autonomous

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Definition of Industrial/Service Robots
*AGV in manufacturing is here
Field robot
Inspection/maintenance/construction/logistics/medical/rescue/security Cleaning/mowing/toy/hobby/
multimedia/education/elderly/
person aid

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De-centralized International Open Architecture
Becomes Popular!
OPC-UA PUB/SUB over TSN
ROS
Node 2
ROS
Node 3
ROS
Node 4
ROS
Node 1
Distributed (UDP)
ROS 2 from ROS 1
Factory Automation Robotics Autonomous Car

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Compass Intelligence Honors ADLINK as
Edge Computing Company of the Year
More than 40 industry journalists, thought leaders, analysts vote
on annual award recipients
Our Corporate Identity:

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Our mission is to delive robust and reliable hardware, data
connectivity and management solutions, and both generic and
domain-specific IIoT platforms that drive data-to-decision
applications across industries.
• Industrial EDGE Intelligent Platform(ROI)
• Real-time Data Connectivity(3R)
• AI at the EDGE Application Enablement(3S)
• Leading EDGE COMPUTING
Strategic Vision
ADLINK Confidential

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• Enabling Machine and Deep Learning in Vertical Industries
AI@Edge Application Enablement
Industrial
Automation
Telecom &
NetworkingTest & Measurement TransportationMedical / Healthcare Infotainment &
VendingMilitary & Aerospace
Customers Across Vertical Markets

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What is
EDGE?
Operations
(Industries, OpEX/CapEX)
THINGS
(Devices, Assets)
Time matters
(Decentralization, Low-
Latency, QoS)

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What is
EDGE?
Operations
(Industries, OpEX/CapEX)
THINGS
(Devices, Assets)
Time matters
(Decentralization, Low-
Latency, QoS)

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Our Mission
To deliver robust and reliable
hardware, data connectivity and
management solutions.
Generic and domain-specific AIoT
platforms drive data-to-decision
applications across industries.

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Industrial ROS 2.0 Intelligent Platform
The real ROI that can fulfill you ROI.

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Industrial ROS 2.0 Intelligent Platform
R
O
I

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Industrial ROS 2.0 Intelligent Platform
Ruggedness
O
I

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Industrial ROS 2.0 Intelligent Platform
Ruggedness
Optimization
I
stress -m 18
Normal app 110228.04
RT app 1177.15
110228.04
1177.15
0
20000
40000
60000
80000
100000
120000
140000
Max. latency under stress
100 times!
Heterogenous platform

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Industrial ROS 2.0 Intelligent Platform
Ruggedness
Optimization
Integration
Expansion
• Connectivity
• GPU
Modular COM-E/CPU + VPU
＋

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Real-Time Data Connectivity
Data Data
Data
Data
Right Data Available at Right Time at Right Place (3R)
Stream Everywhere

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Real-Time Data Connectivity
Right Data Available at Right Time at Right Place (3R)

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AI at the EDGE
Application
Enablement
Industrial EDGE
Intelligent Platform
Real-time Data
Connectivity

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AI at the EDGE, Robotics Application
Enablement
Simplicity, Scalability, Sustainability (3S)
Sub
Pub
Sub
Pub
Sub
Pub
Scalable (indep. # apps) Fast (100,000 updates/s) Managed (with QoS)Reliable (no single fail

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Core Tech.
Application
Motion
planning
Localization
and mapping
Computer
Vision
3D data
processing
Robot control
ROS client library (& drivers)
Vortex
OpenSplice
Commercial
version
Vortex OpenSplice
Community
version
ROS abstract middleware layer (RMW)
Motion
planning
Localization
and mapping
Computer
Vision
3D data
processing
Robot control
ROS client library (& drivers)
DDS Cyclone
Huawei
TSN (Ethernet)
IEEE 802.1
• Global time
• Schedule
Time Deterministic
Network
5G (Wireless)
2

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Think Beyond Messaging
Topic/Queue
1 2 3 1 2 3
1 2
1 2 3 1 2 3 1 2 3
Data Bus
Pub/Sub
Data-
Distribution
 Only messages
 Each message is explained without context
 No cache
 Simple QoS
 Data-objects identified by a ke
 DDS mains state of each obje
 Objects are cached
 Intelligent QoS
• History
• Ownership

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Think Beyond Messaging
Identity
State
Structure
lifecycle
New
Already seen
disposed

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